3 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ME2020
Multivariate functional responses low rank regression with an application to brain imaging data
Xiucai Ding, Dengdeng Yu, Zhengwu Zhang +1
We propose a multivariate functional responses low rank regression model with possible high dimensional functional responses and scalar covariates. By expanding the slope functions…
math.ST2019
Nonparametric principal subspace regression
Mark Koudstaal, Dengdeng Yu, Dehan Kong +1
In scientific applications, multivariate observations often come in tandem with temporal or spatial covariates, with which the underlying signals vary smoothly. The standard approa…
math.ST2017★ 3 cited
Sparse Wavelet Estimation in Quantile Regression with Multiple Functional Predictors
Dengdeng Yu, Li Zhang, Ivan Mizera +2
In this manuscript, we study quantile regression in partial functional linear model where response is scalar and predictors include both scalars and multiple functions. Wavelet bas…